Psychometrika
Introduction
Psychometrika, 89(2)
INTEREST CATEGORY: MARKETING RESEARCH
POSTING TYPE: TOCs
Remarks From the Editor-in-Chief
—Sandip Sinharay
What Can We Learn from a Semiparametric Factor Analysis of Item Responses and Response Time? An Illustration with the PISA 2015 Data
—Yang Liu, Weimeng Wang []
Exploratory Procedure for Component-Based Structural Equation Modeling for Simple Structure by Simultaneous Rotation
—Naoto Yamashita []
Using External Information for More Precise Inferences in General Regression Models
—Martin Jann, Martin Spiess []
Bayesian Semiparametric Longitudinal Inverse-Probit Mixed Models for Category Learning
—Minerva Mukhopadhyay, Jacie R. McHaney, Bharath Chandrasekaran, Abhra Sarkar []
On the Identifiability of 3- and 4-Parameter Item Response Theory Models From the Perspective of Knowledge Space Theory
—Stefano Noventa, Sangbeak Ye, Augustin Kelava, Andrea Spoto []
Measures of Agreement with Multiple Raters: Fréchet Variances and Inference
—Jonas Moss []
Post-selection Inference in Multiverse Analysis (PIMA): An Inferential Framework Based on the Sign Flipping Score Test
—Paolo Girardi, Anna Vesely, Daniël Lakens, Gianmarco Altoè, Massimiliano Pastore, Antonio Calcagnì, Livio Finos []
Efficient Corrections for Standardized Person-Fit Statistics
—Kylie Gorney, Sandip Sinharay, Carol Eckerly []
Restricted Latent Class Models for Nominal Response Data: Identifiability and Estimation
—Ying Liu, Steven Andrew Culpepper []
A Spectral Method for Identifiable Grade of Membership Analysis with Binary Responses
—Ling Chen, Yuqi Gu []
Learning Bayesian Networks: A Copula Approach for Mixed-Type Data
—Federico Castelletti []
A Model Implied Instrumental Variable Approach to Exploratory Factor Analysis (MIIV-EFA)
—Kenneth A. Bollen, Kathleen M. Gates, Lan Luo []
Sufficient and Necessary Conditions for the Identifiability of DINA Models with Polytomous Responses
—Mengqi Lin, Gongjun Xu []